具有認知診斷功能的計算機化多階段測驗(CD-MST)是CDA和MST相結合的一種測驗方式。由于CD-MST自適應頻次較少，初始階段模塊組建會影響整個測驗的判準率。借鑒CD-CAT初始項目選取方法，根據CDA和MST自身特點，提出了7種CD-MST初始階段模塊組建方法，分別是隨機法、選題策略法、R*矩陣法、CTTID法、CDI法、CTTIDR*法和CDIR*法。采用模擬研究對不同項目質量下7種方法的判準率進行了比較。研究結果表明，當初始階段結束時，包含R*矩陣的方法判準率顯著高于其他方法，尤其是CTTIDR*法;整個測驗結束時，CTTIDR*法較其他方法仍然有優勢，CDIR*法和R*矩陣法結果較為接近。選題策略法在初始階段結束時判準率較低，甚至低于隨機法，整個測驗結束時，判準率同CDIR*法和R*矩陣法持平。4種項目質量對判準率影響較大，HD-HV題庫下判準率最高，HD-LV次之，LD-HV較差，LD-LV最差。

Cognitive Diagnostic Multistage Testing(CD-MST) is a new testing mode which combines MST with CDA. It has some advantages, such as improving instruction, allowing administers to check the pre-assembled test forms, allowing the examinee to review and revise answers. The initial stage module assemble methods is an important part for CD-MST. It is presented seven initial stage module assemble methods, they are Randommethod, Item Selection method, R* Matrix method, CTTID method, CDI method, CTTIDR* method and CDIR* method. 1) Random method means that select first stage items from item bank randomly, this method does not consider item parameters and attributes. It is easy and fast.2) Item selection method is first to randomly assign a knowledge state to examinee, and then select the initial stage items according to item selection indices(such as PWKL, SHE). 3) R* matrix method is to select initial items from R-matrix. 4) CTTID method means that select high discriminatory items for the first stage. In DINA model, high discriminatory items are the items slipping and guessing parameters smaller.5) CDI method is presented by Henson and Douglas(2005), it’s another item discrimination index, it considers item parameter and attribute.6) Item parameter and R matrix are the important elements which can influence the efficiency of testing, so here we consider discrimination and R matrix simultaneously to select first stage items, CTTIDR* method and 7) CDIR* method are from this consideration. A simulation research was used to verify these methods of CD-MST. CDM was DINA model, the number of examinee was 3000, item bank was 1240, the number of attributes was 5, stage number of CD-MST was 3. PCCR and ACCR were the evaluation indices. The quality of item bank was a contributory factor. The results showed that after the initial stage, under each of the quality of item banks, the PCCR of the methods with R* matrix were higher than others. When the tests were finished, CTTIDR* method was also higher than others, it had obvious advantage. CD-MST is an efficient application of MST in CDA. It is necessary to study many issues of CD-MST, the initial stage module assemble method is one of them. Some of the seven methods we presented here are effectively and exactly. These methods can also extend to CD-CAT.